Method for the acoustic localization of persons in an area of detection

ABSTRACT

A method of acoustic localization of persons in a detection space by using sound-emitting elements and sound pick-up elements by emitting acoustic signals into the detection space and measuring the reflected acoustic signals has the steps:  
     measurement of acoustic signals in the frequency range of human speech using a plurality of sound pick-up elements;  
     determination of the skew between the acoustic signals measured at the sound pick-up elements;  
     calculation of the position of the sound source from the skew and the positions of the sound pick-up elements.

BACKGROUND OF THE INVENTION

[0001] The present invention relates to a method of acoustic localization of persons in a detection space by using sound-emitting elements and sound pick-up elements by emitting acoustic signals into the detection space and measuring the reflected acoustic signals.

[0002] There are known out-of-position systems (OOP systems) with which the position of persons, child seats or unoccupied seats is for airbag control in motor vehicles. To this end, sensors, e.g., ultrasonic sensors, infrared sensors, capacitive sensors, or microwave sensors, are distributed throughout the passenger compartment. To be able to activate an airbag in an emergency, if necessary, as a function of the person or object situated in front of the airbag or to disable it completely, e.g., when a child seat is installed in front of the airbag, the occupancy of the passenger compartment is monitored dynamically with the help of the sensors during an entire trip.

[0003] In particular, there are known OOP systems in which ultrasonic sensors are acted upon by pulse-like frequencies in the inaudible range in pulse-echo operation, and the echo is determined in the transmission pauses. The occupancy of the passenger compartment can be deduced from the time delay of the echo and the received signal amplitude. Electrically prestressed film membranes which are energized with an ultrasonic frequency in the inaudible range are used as the sound-emitting elements and sound pick-up elements of these ultrasonic sensors. Low-frequency components of the sound pick-ups, in particular in the audible range, are attenuated by electronic filters in the controller of the OP system for further analysis, because these low frequency components are unambiguous interference signals for pulse-echo operation and do not contain any information about the echo. A plurality of such ultrasonic sensors having film membranes in a housing having a defined relative spacing of ultrasonic sensors will be used for monitoring an entire detection space.

[0004] The object of the present invention was to create a method of acoustic localization of persons in a detection space to improve the reliability, accuracy, and quality of the position recognition of traditional OOP systems.

[0005] This object is achieved by the following steps in the method as recited in Patent claim 1:

[0006] measurement of acoustic signals in the frequency range of human speech using a plurality of sound pick-up elements;

[0007] determination of the skew between the acoustic signals measured at the sound pick-up elements, and

[0008] calculation of the position of the sound source from the skew and the positions of the sound pick-up elements.

[0009] It is thus proposed here that audible speech signals also be analyzed and that positions of sound sources be determined. In contrast with this, in traditional OOP systems, audible acoustic signals have been filtered out intentionally because they are strictly interference in the known position determining method of pulse-echo operation.

[0010] The positions of sound sources may be determined to advantage by correlation of the measured audible acoustic signals. Sufficiently well-known correlation methods of digital signal processing such as those known from pattern recognition methods may be used here.

[0011] It is especially advantageous to determine the spatial relocation of the sound sources thus determined and to filter out positionally stable sound sources. This eliminates information about the positions of positionally stable sound sources, which is irrelevant for airbag control.

[0012] To increase the accuracy of the method, however, it is advisable to superimpose the positions of positionally stable and non-positionally stable sound sources.

[0013] Audible acoustic signals of positionally stable sound sources may also be used in a known manner for calibration of the system for implementation of this method.

[0014] Additionally, the microphone of a hands-free system of a cellular telephone may be used as an extra sound pick-up element. As the sound-emitting elements, the loudspeakers of a car radio may be used in addition to the existing transformers of the OOP system. In this way, the existing OOP system together with additional installations that are also present may be implemented without any great additional installation expense.

[0015] The present invention is explained in greater detail below.

[0016] Traditional OOP systems for determining the position of persons, child seats, or unoccupied seats in motor vehicles for the purpose of airbag control have a plurality of sensors such as ultrasonic sensors, which are distributed throughout the passenger compartment of the motor vehicle. Signals are emitted into the passenger compartment, and reflected signals are measured and may be used to deduce the position of persons or objects. These signals may have different wavelength ranges such as ultrasonic, infrared, microwave, or the like. In addition, momentary-contact control switches or weight sensors may also be incorporated into the vehicle seats so that, in the event a vehicle seat is not occupied, the airbags responsible for that vehicle seat may be deactivated.

[0017] In addition to measuring and analyzing reflections, acoustic signals in the audible range are now also analyzed. Since acoustic signals propagate in air at a finite and known velocity, the position of the sound source may be deduced from the signal shift of an acoustic signal of the same sound source measured at different locations. This is accomplished by using the known means of digital signal processing by correlation of the measured acoustic signals of the various sound pick-up elements, taking into account the known and fixed positions of the sound pick-up elements. When considered over a period of time, some of the sound sources are positionally stable, while other sound sources change their position. The stationary positions thus determined may be used to refine the delineation of the boundaries of the detection space. However, these stationary sound sources may also be ignored. Irrelevant sources such as loudspeakers in the door panels and vibrating elements may be eliminated by limiting the detection space. An OOP system may also be calibrated with the assistance of the stationary positions thus determined. In addition, the system may be calibrated by using existing signal sources such as the car radio loudspeakers. If the positions of the loudspeakers are known, and if at least four sound pick-up elements are receiving the signals of the loudspeakers, the sound pick-up elements are able to calibrate each other, because at least three sound pick-up elements are always available for calibration. Otherwise, the transmission point in time of the acoustic signals is also necessary as additional information, so an electric connection to the loudspeakers is necessary.

[0018] Other instrument units may also be used as sound pick-up elements, e.g., the microphones of a hands-free system for cellular telephones. Either the known position of the microphone may be used for correlation of the measured acoustic signals or the position may in a known manner with the help of the loudspeakers at various locations even during an automatic calibration procedure. 

What is claimed is:
 1. A method of acoustic localization of persons in a detection space using sound-emitting elements and sound pick-up elements, by emitting acoustic signals into the detection space and measuring the reflected acoustic signals, characterized by measurement of acoustic signals in the frequency range of human speech using a plurality of sound pick-up elements; determination of the skew between the acoustic signals measured at the sound pick-up elements; calculation of the position of the sound source from the skew and the positions of the sound pick-up elements.
 2. The method as recited in claim 1, characterized by correlation of the measured acoustic signals.
 3. The method as recited in one of the preceding claims, characterized by determination of the spatial relocation of the sound sources thus determined and filtering out positionally stable sound sources.
 4. The method as recited in one of the preceding claims, characterized by determination of the spatial relocation of the sound sources thus determined; and determination of positionally stable sound sources; and superimposing the positionally stable and non-positionally stable positions; in order to increase the accuracy for determination of the non-positionally stable positions.
 5. The method as recited in one of the preceding claims, characterized by determination of the spatial relocation of the sound sources thus determined for determination of positionally stable sound sources; calibration of the system for implementation of the method using the acoustic signals from the positionally stable sound sources.
 6. The method as recited in one of the preceding claims for use in motor vehicles for airbag control.
 7. The method as recited in claim 6, wherein acoustic signals are emitted via loudspeakers of a car radio as the sound-emitting elements.
 8. The method as recited in claim 7 or 8, characterized by measurement of acoustic signals using a microphone of a hands-free system for a cellular telephone as the sound pick-up element. 